Instructions to use XYZ123XYZ/shawgpt-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use XYZ123XYZ/shawgpt-ft with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v0.6") model = PeftModel.from_pretrained(base_model, "XYZ123XYZ/shawgpt-ft") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from XYZ123XYZ/shawgpt-ft: direct link, hf CLI and curl.
- Browser
- Download file 2.89 MB
-
https://huggingface.co/XYZ123XYZ/shawgpt-ft/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://XYZ123XYZ/shawgpt-ft/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/XYZ123XYZ/shawgpt-ft/resolve/main/adapter_model.safetensors
2.89 MB
- Xet hash:
- 50e3221b46ea76334144ecbdc9cc0b1c20450e5de8a3ce435402836ff0afac36
- Size of remote file:
- 2.89 MB
- SHA256:
- 18f90dc38a540ef01277c022fdcf414c6661e6278cc8b20ef71fac327455dda2
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